AI Technical Architect
Are you ready to be a part of the AI digital reinvention and revolutionize your career?
In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value.
That’s where Accenture Strategy & Consulting - Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.
We are seeking an AI / Agentic Technical Architect to design, lead the architecture of cutting-edge AI systems involving agent orchestration, LLM integration, and operationalize enterprise grade Generative and Agentic AI solutions.
You will play a pivotal role in shaping modern AI architectures that combine LLMs, agentic orchestration, cloud native engineering, and robust data platforms. Working alongside multidisciplinary teams with strategy, engineering, data & AI, and industry experts – you will help clients adopt AI systems that are secure, scalable, and production ready.
This is a hands-on architecture role for someone who thrives at the intersection of AI innovation, cloud engineering, and enterprise systems design.
What You Will Do
- Architect end-to-end Generative and Agentic AI solutions (focusing on agent orchestration, system integration, model selection), from discovery and design through deployment and scaling.
- Build and integrate agentic workflows, including orchestration frameworks, multiagent systems, MCP Server integrations, and A2A protocol-based interactions.
- Design cloud native AI solutions across AWS, Azure, and GCP, ensuring performance, resilience, and cost-efficient scaling.
- Lead the implementation of MLOps / LLMOps pipelines, enabling continuous delivery, monitoring, governance, and lifecycle management of AI models.
- Collaborate with data engineering teams to design data platforms, vector databases, RAG architectures, feature stores, and knowledge retrieval systems.
- Oversee system integrations, including APIs, microservices, enterprise networks, and security frameworks.
- Ensure secure, cost-optimized design through API gateway integration, token & context-window budgeting, and resource utilization planning.
- Provide architectural leadership in client workshops, technical assessments, and solution reviews.
- Advise clients on AI strategy, modernization roadmaps, and responsible AI adoption.
What You Will Bring
5+ years of experience in Cloud Architecture, with strong proficiency in at least one major cloud providers (AWS, Azure, GCP) and hybrid environments with secure enterprise integration patterns.
Strong software engineering background and coding foundation (Python, Java), including:
API design & development
Microservices architecture
Distributed systems
Kubernetes and container orchestration
Solid understanding of network architecture, security models, and enterprise system integrations.
Strong background in data platforms, including data lakes, lakehouses, distributed storage, and real-time data pipelines.
Proven experience designing and delivering Generative AI solutions, with hands-on exposure to emerging agentic AI architectures (e.g., autonomous or tool-using agents, multi-step workflows, orchestration patterns, MCP server, and A2A protocols).
Hands-on expertise with LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vertex AI,
Solid understanding of Retrieval-Augmented Generation (RAG) and knowledge retrieval patterns, including experience with vector databases, embeddings, and semantic search.
Experience establishing and guiding MLOps / LLMOps practices, enabling model deployment, monitoring, versioning, governance, and lifecycle management using cloud-native or open-source tooling.
Key Competencies
Architectural thinking with the ability to design complex, distributed AI systems.
Hands‑on engineering mindset with rapid prototyping and iterative solutioning.
Deep understanding of LLM behavior, evaluation frameworks, prompt engineering, and model optimization.
Familiarity with DevOps, CI/CD, containerization, and cloud native patterns.
Strong communication skills with the ability to engage both technical and non‑technical stakeholders.
Curiosity and passion for emerging AI technologies and continuous learning.
Additional Qualifications
Exposure to AI governance, responsible AI, model risk management, and compliance frameworks
Cloud certifications (AWS, Azure, GCP)
Prior consulting experience or client facing delivery roles.
Ability to work as a team player in multinational project teams
Fluency in English (verbal and written)
All male candidates should have fulfilled their military obligations
What’s in it for you?
Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts
Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people
Career coaching and mentorship to help you manage your career and develop professionally
Ongoing strength and skill-based evaluation process
Various opportunities to develop your career across a spectrum of clients, industries and projects
Diverse and inclusive culture
Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work
Under our Brain Regain initiative, extra relocation benefits may apply
Athens
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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
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Join Accenture to work at the heart of change. Visit us at www.accenture.com.